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Published on: May 23, 2021
A new quantitative analysis technique for cardiac arrhythmia using bispectrum and bicoherency
L Khadra1, A Al-Fahoum, S Binajjaj
1Hijawii Fac. for Eng. & Technol., Yarmouk Univ., Irbid, Jordan.
Summary
High order spectral analysis using bispectrum estimation effectively classifies cardiac arrhythmias like atrial fibrillation and ventricular tachycardia. This method quantifies differences in arrhythmias, aiding in sudden cardiac death research and therapy prediction.
Area of Science:
- Cardiology
- Biomedical Signal Processing
- Computational Electrophysiology
Background:
- Ventricular tachyarrhythmias, especially ventricular fibrillation (VF), are critical in sudden cardiac death (SCD).
- Electrocardiogram (ECG) analysis in VF aims to understand pathophysiology, predict therapy efficacy, and guide resuscitation strategies.
- Atrial fibrillation (AF) and ventricular tachycardia (VT) present significant diagnostic and therapeutic challenges.
Purpose of the Study:
- To introduce a high order spectral analysis technique for quantitative analysis and classification of cardiac arrhythmias.
- To utilize bispectral analysis for distinguishing between different types of tachyarrhythmias.
- To explore the potential of bispectral parameters and bicoherency for assessing cardiac rhythm abnormalities.
Main Methods:
- A novel algorithm based on bispectral analysis techniques was developed for cardiac arrhythmia classification.
- The bispectrum was estimated using an Autoregressive (AR) model.
- Frequency support of the bispectrum and bicoherency spectrum were extracted as quantitative measures.
Main Results:
- Significant differences in parameter values were observed for classifying different cardiac arrhythmias.
- Distinct bicoherency spectrum values were found between normal and tachycardia patients.
- Bicoherency analysis indicated a decrease in phase coupling as arrhythmias manifest.
Conclusions:
- High order spectral analysis, specifically bispectral analysis, offers a quantitative method for cardiac arrhythmia classification.
- The proposed technique can differentiate between various tachyarrhythmias, including AF and VT.
- Reduced phase coupling, as indicated by bicoherency, is a potential marker for cardiac arrhythmias.
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